CVAUI 2018 Workshop Program

Held in conjunction with ICPR 2018, Beijing, China

20 August 2018, 09:00 to 17:00

Instructions to presenters:

You may use your own laptop, or upload your presentation to a provided laptop.

Invited talks

1 hour total with 40-45 minutes for presentation and 15 minutes for questions and discussion

Oral presentations

20 minutes total with 15 minutes for presentation and 5 minutes for questions and discussion

Workshop Program

09:00 to 09:30 – Introductions

Welcome from Workshop Organizers (Alexandra Branzan Albu & Maia Hoeberechts)

“Big data” challenges in underwater imagery analysis (Maia Hoeberechts)

09:30 to 10:30 – Invited Talk 1

Extracting ecological information from deep-sea imagery

Kim Juniper

Ocean Networks Canada & School of Earth and Ocean Sciences, University of Victoria, Victoria, Canada

10:30 to 11:00 – Coffee Break

11:00 to 12:30 – Oral Presentations 1 (4 papers)

Single Image Plankton 3D Reconstruction from Extended Depth of Field Shadowgraph

Claudius Zelenka¹ and Reinhard Koch¹

¹Department of Computer Science, Kiel University, Germany

 

Deep Active Learning for In Situ Plankton Classification

Erik Bochinski¹, Ghassen Bacha¹, Volker Eiselein¹, Tim J. W. Walles², Jens C.Nejstgaard², and Thomas Sikora¹

¹ Communication System Group, Technische Universität Berlin

² Leibnitz-Institute of Freshwater Ecology and Inland Fisheries

 

Tracking Sponge Size and Behaviour with Fixed Underwater Observatories

Torben Möller¹, Ingunn Nilssen², and Tim Wilhelm Nattkemper¹

¹ Biodata Mining Group, Bielefeld University, Bielefeld 33615, Germany

² Equinor, Research and Technology, Trondheim 7005 Norway

 

Underwater-GAN: Underwater Image Restoration via Conditional Generative Adversarial Network

Xiaoli Yu¹, Yanyun Qu¹, and Ming Hong¹

¹School of Information Science and Engineering, Xiamen University, Xiamen, China

12:30 to 14:00 – Lunch

14:00 to 15:30 – Oral Presentations 2 (4 papers)

Strategies for Tackling the Class Imbalance Problem in Marine Image Classification

Daniel Langenkämper¹, Robin van Kevelaer¹, and Tim W Nattkemper¹

¹Biodata Mining Group, Faculty of Technology, Bielefeld University, 33615 Bielefeld, Germany

 

Marine Snow Removal Using a Fully Convolutional 3D Neural Network Combined with an Adaptive Median Filter

Michal Koziarski¹ and Boguslaw Cyganek¹

¹Department of Electronics, AGH University of Science and Technology, Kraków, Poland

 

An Online Platform for Underwater Image Quality Evaluation

Chau Yi Li¹, Riccardo Mazzon¹, Andrea Cavallaro¹

¹Centre for Intelligent Sensing, Queen Mary University of London

 

Enhancement of low-lighting underwater images using Dark Channel Prior and Fast Guided Filters

Tunai Porto Marques¹, Alexandra Branzan Albu¹ and Maia Hoeberechts²

¹ Department of Electrical & Computer Engineering, University of Victoria, Victoria, Canada

² Ocean Networks Canada, University of Victoria, Victoria, Canada

15:30 to 16:00 – Coffee Break

16:00 to 17:00 – Invited Talk 2

Collecting, Cleaning and Analyzing a Large Fish Dataset

Robert B. Fisher

School of Informatics, University of Edinburgh, Edinburgh, Scotland, UK